Compressive sensing for noisy solder joint imagery based on convex optimization

doi:10.1108/SSMT-09-2014-0017

	Compressive sensing for noisy solder joint imagery based on convex optimization
	Zhao, Huihuang 1; Chen, Jianzhen 1; Xu, Shibiao2 ; Wang, Ying 1; Qiao, Zhijun 3
发表期刊	SOLDERING & SURFACE MOUNT TECHNOLOGY
	2016-05-10
卷号	28 期号:2 页码:114-122
文章类型	Article
摘要	Purpose - The purpose of this paper is to develop a compressive sensing (CS) algorithm for noisy solder joint imagery compression and recovery. A fast gradient-based compressive sensing (FGbCS) approach is proposed based on the convex optimization. The proposed algorithm is able to improve performance in terms of peak signal noise ratio (PSNR) and computational cost.
关键词	Noisy Solder Joint Imagery Compressive Sensing (Cs) Convex Optimization Gradient-based Method Orthogonal Matching Pursuit Greedy Basis Pursuit Subspace Pursuit And Compressive Sampling Matching Pursuit Iterative Re-weighted Least Squares
WOS标题词	Science & Technology ; Technology
DOI	10.1108/SSMT-09-2014-0017
关键词[WOS]	ORTHOGONAL MATCHING PURSUIT ; INVERSE PROBLEMS ; RECONSTRUCTION ; RECOVERY ; INSPECTION ; TRANSFORM
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61503128) ; Scientific Research Fund of Hunan Provincial Education Department(14B025 ; Science and Technology development project of HengYang(2015KJ28) ; Key Construction Disciplines of the Hunan Province during the Twelfth Five-Year Plan Period ; Open fund project of Hunan Provincial Key Laboratory for Technology and Application of Cultural Heritage Digitalization(JL14K04) ; Open Projects Program of National Laboratory of Pattern Recognition(201407330) ; 13C074)
WOS研究方向	Engineering ; Materials Science ; Metallurgy & Metallurgical Engineering
WOS类目	Engineering, Manufacturing ; Engineering, Electrical & Electronic ; Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS记录号	WOS:000376207000007
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12224
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.HengYang Normal Univ, Dept Comp Sci, Hengyang, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China 3.Univ Texas Pan Amer, Dept Math, Edinburg, TX 78541 USA
推荐引用方式 GB/T 7714	Zhao, Huihuang,Chen, Jianzhen,Xu, Shibiao,et al. Compressive sensing for noisy solder joint imagery based on convex optimization[J]. SOLDERING & SURFACE MOUNT TECHNOLOGY,2016,28(2):114-122.
APA	Zhao, Huihuang,Chen, Jianzhen,Xu, Shibiao,Wang, Ying,&Qiao, Zhijun.(2016).Compressive sensing for noisy solder joint imagery based on convex optimization.SOLDERING & SURFACE MOUNT TECHNOLOGY,28(2),114-122.
MLA	Zhao, Huihuang,et al."Compressive sensing for noisy solder joint imagery based on convex optimization".SOLDERING & SURFACE MOUNT TECHNOLOGY 28.2(2016):114-122.

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